Results 101 to 110 of about 1,952,092 (277)

Emergent Spin Supersolids in Frustrated Quantum Materials

Advanced Materials, EarlyView.
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang, Seiji Yunoki, Sadamichi Maekawa   +2 more
wiley   +1 more source

A Weighted Nuclear Norm Method for Tensor Completion

International Journal of Signal Processing, Image Processing and Pattern Recognition, 2014
In recent years, tensor completion problem has received a significant amount of attention in computer vision, data mining and neuroscience. It is the higher order generalization of matrix completion. And these can be solved by the convex relaxation which minimizes the tensor nuclear norm instead of the n-rank of the tensor.
Juan Geng, Laisheng Wang, Yitian Xu, Xiuyu Wang   +3 more
openaire   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Varying Coefficient Tensor Models for Brain Imaging [PDF]

, 2005
We revisit a multidimensional varying-coefficient model (VCM), by allowing regressor coefficients to vary smoothly in more than one dimension, thereby extending the VCM of Hastie and Tibshirani.
Marx, Brian D., Eilers, Paul H. C., Heim, Susanne   +2 more
core   +1 more source

Dim and Small Target Detection Based on Local Feature Prior and Tensor Train Nuclear Norm

IEEE Photonics Journal
When faced with complex scenes containing strong edge contours and noise, there are still more background residuals in the detection results of traditional algorithms, leading to a high false alarm rate.
Anqing Wu, Xiangsuo Fan, Lei Min, Wenlin Qin, Ling Yu   +4 more
doaj   +1 more source

Rational Tuning of Hygroscopic Oscillation of Stacked Nanoflake Assemblies for Continuous Ambient Energy Harvesting

Advanced Materials, EarlyView.
Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang, Jimin Fu, Gesa Zhang, Zhihua Liang, Boxun Zhang, Haimin Yao   +5 more
wiley   +1 more source

Spin Transport Across Interfaces With the Non‐Collinear Antiferromagnet Mn3Sn

Advanced Materials, EarlyView.
We study spin transport with Mn3Sn|Metal${\rm Mn}_3{\rm Sn}\vert{\rm Metal}$ heterostructures. For Mn3Sn|Pt${\rm Mn}_3{\rm Sn}\vert{\rm Pt}$ heterostructures, ultrafast spin current generation by optical pumping of Mn3Sn${\rm Mn}_3{\rm Sn}$ is explored, while for Mn3Sn|NiFe${\rm Mn}_3{\rm Sn}\vert{\rm NiFe}$ heterostructures, we probe the spin–charge ...
Paul A. Marschall, Wolfgang Hoppe, Prajwal Rigvedi, Börge Göbel, Franziska Ziolkowski, Samir Lounis, Banabir Pal, Stuart S. P. Parkin, Georg Woltersdorf   +8 more
wiley   +1 more source

Multi-Channel Audio Completion Algorithm Based on Tensor Nuclear Norm

Multi-channel audio signals provide a better auditory sensation to the audience. However, missing data may occur in the collection, transmission, compression, or other processes of audio signals, resulting in audio quality degradation and affecting the ...
Lin Zhu, Yong Guo, Dawei Niu, Dandan Zhang, Lidong Yang   +4 more
core   +1 more source

Multistage Nonlinear Transform Tensor Nuclear Norm for Hyperspectral Image Super-Resolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image super-resolution (HSI-SR) aims to reconstruct a high-resolution hyperspectral image by fusing a low-resolution hyperspectral image with a high-resolution multispectral image.
Zhihui Tu, Yisha Gao, Susu Lv, Wenyu Hu, Jian Lu   +4 more
doaj   +1 more source

Relations of the nuclear norm of a tensor and its matrix flattenings

Linear Algebra and its Applications, 2015
For a $3$-tensor of dimensions $I_1\times I_2\times I_3$, we show that the nuclear norm of its every matrix flattening is a lower bound of the tensor nuclear norm, and which in turn is upper bounded by $\sqrt{\min\{I_i : i\neq j\}}$ times the nuclear norm of the matrix flattening in mode $j$ for all $j=1,2,3$.
openaire   +3 more sources